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MedTech Remote
Patient Monitoring

(RPM) Development

Aligned with Medical Devices and their use case, we
engineer MedTech-compliant RPM platforms that
are powered with AI, CDSS and value-driven
interoperability

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RPM Program is in its
Infancy

After the initiation of the RPM program by CMS, healthcare has been striving to run a successful RPM program that empowers at-home care, ambulatory care and also create a data-driven virtual care ecosystem. This has created a perfect opportunity for IoMT Medical Device companies to extend their services and create an intelligent and comprehensive medical data ecosystem.

Create an intelligent cloud
RPM platform with value-
driven integrations and DaaS capabilities

We at AIMDek understand RPM devices are no longer limiting their platforms to receive, transmit and present their data. Instead of a simple data visualization RPM platform, organizations aim for a modern-day RPM platform that contributes to healthcare decision-making.

Modern-day RPM consists of
  • Smart integrations that augment the value of the data generated by RPM devices
  • Couple their data with deep-learn ML models to create a cloud-intelligent platform
  • Advanced analytics capabilities that support the CDSS platform for providers
  • Enable new business expansion opportunities with clinical trials, CRO-based data support
  • Create a DaaS-oriented RPM platform that supports multiple business models

Data Capabilities that we can Integrate in Your
RPM Solutions

Whether you wish to revamp your existing RPM platform or create a new platform,
we can incorporate the following data capabilities in your RPM platform

Data Ingestion Capabilities
  • Device integration
  • Third-party system integrations
  • SaMD integrations
Data Protection Capabilities
  • Data de-identification automation
  • Cybersecurity practices
  • DevSecOps
Data Interoperability Capabilities
  • AIMDek DaaS accelerator
  • Interface engines
  • Data transmission pipelines
  • HL7 FHIR-based APIs
Data Processing Capabilities
  • OMOP CDM-driven clinical database
  • CDSS-oriented data analytics and visualization
  • Naive Bayes, Ensemble and CNN-based ML models
  • Unified Data Models for HL7-compliant data-standardization

Compliance and Standards

Glimpses of Modern RPM Implementations

RPM Integrations Ecosystem

Healthcare Engine Integration (On-prem & Cloud)​

Cloud Integrations​

Integrations​

EHR/EMR Integrations​

Employ the AIMDek Edge


ISO 13485, IEC 62304 and ISO 14971 compliant development practices


Automated Validation Frameworks, Techniques and Solutions


Agile Development and QE Practices


FDA, EU MDR, DiGA and GDPR regulatory expertise


AI/ML Expertise